Sheng Jin

33 papers A* 11Journal 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-prompt-based binary matching for open set domain adaptation.
Neurocomputing
Jidong Yang, Shouxu Jiang, Hongxun Yao, Lingji Xu, Sheng Jin, Huicong Zhang, Zhaopan Xu, Jing Jiang
2025 J jnl
ESOD: Efficient Small Object Detection on High-Resolution Images.
IEEE Trans. Image Process.
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
2025 J jnl
JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation.
CoRR
Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua
2024 J jnl
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.
CoRR
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
2024 J jnl
ESOD: Efficient Small Object Detection on High-Resolution Images.
CoRR
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
2024 J jnl
FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation.
CoRR
Xi Chen, Haosen Yang, Sheng Jin, Xiatian Zhu, Hongxun Yao
2024 A* conf
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors.
ICLR
Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu
2024 J jnl
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors.
CoRR
Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu
2024 A* conf
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders.
NeurIPS
Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu
2024 J jnl
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders.
CoRR
Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu
2024 A* conf
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.
NeurIPS
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
2024 J jnl
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.
CoRR
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
2024 J jnl
Vision-Language Models for Vision Tasks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu
2024 A* conf
Weakly Supervised Monocular 3D Detection with a Single-View Image.
CVPR
Xueying Jiang, Sheng Jin, Lewei Lu, Xiaoqin Zhang, Shijian Lu
2024 J jnl
Weakly Supervised Monocular 3D Detection with a Single-View Image.
CoRR
Xueying Jiang, Sheng Jin, Lewei Lu, Xiaoqin Zhang, Shijian Lu
2023 A* conf
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.
NeurIPS
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
2023 A* conf
Domain Generalization via Balancing Training Difficulty and Model Capability.
ICCV
Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu
2023 J jnl
Domain Generalization via Balancing Training Difficulty and Model Capability.
CoRR
Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu
2023 J jnl
MIFNet: Multiple instances focused temporal action proposal generation.
Neurocomputing
Lining Wang, Hongxun Yao, Haosen Yang, Sibo Wang, Sheng Jin
2023 J jnl
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation.
CoRR
Jiaxing Huang, Jingyi Zhang, Han Qiu, Sheng Jin, Shijian Lu
2023 A* conf
Uncertainty-aware Unsupervised Multi-Object Tracking.
ICCV
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
2023 J jnl
Uncertainty-aware Unsupervised Multi-Object Tracking.
CoRR
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
2023 J jnl
Vision-Language Models for Vision Tasks: A Survey.
CoRR
Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu
2022 A* conf
Temporal Action Proposal Generation with Background Constraint.
AAAI
Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang
2021 A* conf
Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing.
AAAI
Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua
2021 J jnl
Temporal Action Proposal Generation with Background Constraint.
CoRR
Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang
2021 J jnl
Unsupervised Discrete Hashing With Affinity Similarity.
IEEE Trans. Image Process.
Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xian-Sheng Hua
2020 J jnl
Deep Saliency Hashing for Fine-Grained Retrieval.
IEEE Trans. Image Process.
Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xian-Sheng Hua
2020 A* conf
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation.
AAAI
Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua
2020 A* conf
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation.
AAAI
Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua
2019 J jnl
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation.
CoRR
Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua
2019 J jnl
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation.
CoRR
Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua
2019 J jnl
Unsupervised semantic deep hashing.
Neurocomputing
Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou